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Effect of Previous Embolization on Radiation-Induced Changes After Stereotactic Radiosurgery for Brain Arteriovenous Malformations
Mokua, Collins , Ramirez-Garcia, Kristina , Nguyen, Justin H. , Lee, Cheng‐Chia , Ding, Dale , Woo, Shiao Y. , Kondziolka, Douglas, Feliciano, Caleb , Rodriguez-Mercado, R, Cockroft, Kevin M. , Simon, Scott D. , Lee, John Y. K., Sheehan, Jason P. , Chen, Ching-Jen , Ding, Dale , Becerril‐Gaitan, Andrea , Nguyen, Justin, Cifarelli, Christopher P. , Liščák, Roman , Williams, Brian J. , Yusuf, Mehran Behruj , Warnick, Ronald E. , Trifiletti, Daniel M. , Mathieu, David , Chen, Ching‐Jen

Neurosurgery | December 16, 2025 | Volume: 99 | Issue: 3 | Pages: 593-602

10.1227/neu.0000000000003880 | PMID 41400380 Get It

BACKGROUND AND OBJECTIVES: Stereotactic radiosurgery (SRS) for brain arteriovenous malformations (AVMs) can cause radiation-induced changes (RIC), but its interactions with AVM embolization are not well established. The aim of this study was to assess the effect of previous embolization on RIC in SRS-treated AVM patients. METHODS: Data of AVM patients treated with single-session SRS from 1987 to 2018 were retrieved from the International Radiosurgery Research Foundation. Univariable and stepwise backward logistic regression models were used to identify RIC predictors. Patients were stratified into those who received pre-SRS embolization (E + SRS) vs those who did not (SRS-only). Radiologic RIC (rRIC) was the primary end point. Secondary outcomes included symptomatic RIC (sRIC) and permanent symptomatic RIC (pRIC). RESULTS: Among 1187 AVM patients, the mean age was 36.4 years (SD 16.8), with 50.4% female patients. AVMs had a mean untreated AVM volume of 5.2 cm 3 . A total of 130 patients (11%) underwent neoadjuvant embolization (E + SRS). The overall rRIC and sRIC rates were 32.8% and 12.1%, respectively, with time to rRIC and sRIC being significantly longer in the E + SRS vs SRS-only cohorts (103.6 ± 339.4 vs 11.3 ± 12.5 and 60.4 ± 262.9 vs 9.5 ± 9.0 months, respectively). Seizures at presentation and ≥3-cm untreated AVM volume significantly correlated with a higher likelihood of rRIC (adjusted odds ratio [aOR] 2.32 [1.25-4.30] and aOR 2.77 [1.24-6.16], respectively). Age and pre-SRS embolization were associated with a significantly lower risk of rRIC (aOR 0.97 [0.96-0.99] and aOR 0.32 [0.13-0.74], respectively). The E + SRS cohort had significantly reduced odds of rRIC (aOR = 0.37 [0.15-0.89]) and pRIC (aOR = 0.04 [0.00-0.30]) after adjusting for significant covariates. CONCLUSION: Seizures at presentation and larger untreated AVM volume were independently associated with an increased risk of rRIC, whereas older age and pre-SRS embolization were protective. Notably, patients who underwent embolization before SRS had lower odds of rRIC and pRIC, with delayed onset of complications compared with SRS-only.
Automated Insulin Delivery Is Beneficial in Adults With Insulin-Treated Type 2 Diabetes With and Without GAD65 Antibodies
Beck, Roy W. , Hirsch, Irl B., Raghinaru, Dan, Lum, John W. , Pinsker, Jordan E. , Kudva, Yogish C. , Group*, 2IQP Study, Desjardins, Donna, Kurek, Corey, Kaur, Ravinder Jeet , Livingood, Daine, Rizvi, Shafaq , Graham, Timothy E., Terry, Adrienne, Luker, Ryan, Mellenthin, Melanie, Rezac, Stephanie, Liljenquist, David R., Rogers, Justin, Williams, Jonathan, Christensen, Rochelle, Lee, In‐Kyoung, Malone, Joann, Spanakis, Elias K. , Singh, Lakshmi G., Churchill, Jade, Comen, Kathleen, Scott, William H., Davis, Georgia M. , Arroyo, Lizda Guerrero, Oladejo, Omolade , Usman, Sabeena, Ahmann, Andrew , Schmid, Caleb, Dean, Ariel, Branigan, Deborah , Caswell, Brittany, Heyerman, Tess, Tessman, Brian, Vanderheide, Jnh, Dennis, Brittany , Hendricks, Lisa, Reyes-Rodriguez, Clemente, Wolf, Valerie, Coyne, Kasey, Kravarusic, Jelena, Fronczyk, Evelyn, Herrmann, Stefanie, Penn, Samsam C., Blevins, Thomas , Casaubon, Luis, Espinosa, Valerie, Pandit, Keta, Perez, Jennifer, Stewart, Ana, Assir, Courtney, Fields, Cory, Kruger, Davida , Estrada, Kathleen, Jones, J. Kimberly, Mukhashen, Shereen, Corker, Natalie, Hunter, Heather, Layton, Paula, Brown, Sue A. , Afreen, Samina , Dhillon, Jasmeen, Emory, Emma, Fulkerson, David, Fuller, Morgan, Holmes, Viola, Kollar, Laura, Toole, Elyse, Levister, Camilla, O’Malley, Grenye , Ipek, Aslihan, Alabi, Denise, Ellis, Emily, Hassan, Shaziah, Ogyaadu, Selassie, Tamarez, Denisa, Weinstock, Ruth S. , Stone, Sheri , Bzdick, Suzan, Agostini, Lynn, Bulger, Jane , Wolpert, Howard , Atakov-Castillo, Astrid , Sullivan, Asya, Aia, Corinne, Brouillard, Elizabeth, Driscoll, Marsha, Lapier, Heather, Payra, Sherryl, Vancer, Louise, Averkiou, Xenia, Baran, Jesica, Holod, Rosanna, Litvicov, Patrisia, Mandava, Patali, Swinton, Sydney, Khakpour, Dori , Broyles, Frances E. , Marks, Sheryl, Mitchell, Tina, Hairston, Babette, Costello, Reilly, Curtis, Stella, Kamimoto, Jorge Jo, Peleckis, Amy J. , Sultan, Rahaf , Dalton-Bakes, Cornelia, Bourne, Patricia, Haidar, Ahmad, Pasqua, Melissa, Tardio, Vanessa , Moore, Adelyn, Kemp, Gabrielle, Raskin, Philip, Jordan, L.F., Shao, Baomei, DoNguyen, Trang, Meeks, Tram, Phan, Michael , Lesniak, Amanda, Becerra, Mario, Bellini, Natalie J. , Denallo, Erica, Lewis, Claudia , Tribout, Jerry, Tribout, Megan, DiFrancesco, Kathryn, Phillips, Kylie, Raghinaru, Dan, Campos, Tiffany, Morrell, Beth, Oduah, Vanessa, Cardenas-Villamil, Gabriela, Morales, Amanda, Murphy, Carlos, Strayer, Heidi, Spanbauer, Charles , Kollman, Craig, Sasson-Katchalski, Ravid, Piquette, Nicole, Wheatcroft, Alex, WHITE, KIRSTIN N., Carmelo, KC, Janicek, Robert, Gabrielson, Deanna, Mercado, Kevin, Beck, Roy W , Group*, 2IQP Study, Smith, Joshua W. , Christensen, Rochelle, Malone, Joann, Pasquel, Francisco J. , Tajrishi, Farbod Zahedi , Arroyo, Lizda Guerrero, Dean, Ariel, Howard, Matthew, Vander-Heide, Jesse, Ahn, David , Aleppo, Grazia , Fields, Cory, Layton, Paula, Oliveri, Mary Clancy , Levy, Carol J. , Agostini, Lynn, Steenkamp, Devin W , Spaic, Tamara , Liu, Selina , Marks, Sheryl, Mitchell, Tina, Costello, Reilly, Curtis, Stella, Rickels, Michael R. , Bourne, Patricia, Tsoukas, Michael A. , Pasqua, Melissa-Rosina , Moore, Adelyn, Kemp, Gabrielle, Meeks, Tram, Phan, Michael, Hatipoğlu, Betül , Lesniak, Amanda, Howard, Quiana , DiFrancesco, Kathryn, Raghinaru, Dan, Morrell, Beth, Morales, Amanda, Kanapka, Lauren , Le, Van

Diabetes Care | December 5, 2025 | Volume: 49 | Issue: 2 | Pages: e18-e20

10.2337/dc25-2059 | PMID 41348329 Get It

Alternate dosing schedules of BCMA-directed T cell engagers display altered pathways of relapse in syngeneic vk*MYC multiple myeloma
Zhu, Yuan Xiao , Shi, Chang-Xin, Pfeffer, Kirsten , Abayasiriwardana, Keith , Fisher, Timothy S. , Bompiani-Myers, Kristin, Chesi, Marta , Meermeier, Erin W. , Stein, Caleb K. , Sharik, Meaghen E. , Du, Megan T. , Bergsagel, P. Leif

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 913-913

10.1182/blood-2025-913 Get It

Abstract Background: B-cell maturation antigen (BCMA)-targeted T cell engagers (TCEs) have emerged as a highly potent immunotherapy for relapsed/refractory multiple myeloma (MM). However, both primary and acquired resistance significantly limit the durability of responses. Antigen escape and development of dysfunctional T cell responses are a significant driver of relapse post-therapy. Here, we preclinically interrogate if continual versus intermittent/response-adapted dosing differently affects development of resistance, the translatability to clinical resistance mechanisms, and how tumor-intrinsic or microenvironmental factors shape the development of resistance to BCMA-TCEs. Methods: We utilized a syngeneic transplantable Vk*MYC MM model which permits clonal tracking through unique immunoglobulin rearrangements. Two cohorts of tumor-bearing mice were treated with a murine surrogate BCMA-TCE using distinct strategies: (1) continuous weekly dosing until disease progression, and (2) an “ intermittent/response-adapted” strategy, where treatment was paused after initial response and resumed upon detection of M-spike. At time of relapse on therapy, RNA-seq was performed on isolated tumor cells to investigate mutations in- or loss of Tnfrsf17/BCMA. Single-cell RNA sequencing (scRNA-seq) was also performed on 189,025 cells isolated from bone marrow and extramedullary sites. Results: Both continuous and intermittent treatment regimens resulted in similar overall survival. BCMA-TCE treatment induced a distinctive pattern of disease progression, with para- and extra-medullary dissemination observed in 31% (17/54) of treated mice—regardless of treatment schedule. Given this treatment-induced dissemination hasn't been historically observed in our model, we further profiled BCMA expression and infiltrating immune cells to understand relapse mechanisms at these sites. Furthermore, we noted lower BCMA expression in tumors from continuously treated mice compared to untreated or stop-and-go cohorts. Importantly, reduced BCMA expression occurred without loss of plasma cell identity indicating that lineage switching may not be occurring as observed in other hematological malignancies treated similarly (Ruella, 2023, Nat Rev Drug Discov); malignant cells retained high expression of canonical plasma cell markers Irf4, Prdm1, Xbp1, Sdc1. We identified three mechanisms of acquired resistance:Genomic BCMA loss: Complete and irreversible loss of BCMA due to retrotransposition of IAP particles into the first intron of Tnfrsf17, disrupting transcription of downstream exons. This represented a genomic mechanism of antigen escape occurring with continual and prolonged TCE dosing, disrupting transcription and eliminating surface BCMA.Transient BCMA downregulation: Transient downregulation of BCMA expression associated with rapid disease relapse under continuous treatment. Tumors exhibited low BCMA levels and widespread dissemination in paramedullary sites. However, re-transplantation into naïve hosts led to restoration of BCMA expression and re-sensitization to TCE, indicating antigen loss was not permanent.Resistance without antigen loss: In the intermittent dosing regimen, several cases achieved complete remission after two doses, relapsed after treatment pause, and were not controlled after subsequent retreatment. Despite preserved BCMA expression and absence of BCMA mutations or deletions, tumors were refractory to retreatment, suggesting a tumor extrinsic mechanism of resistance. scRNA-seq analysis of the tumor microenvironment is ongoing and the role of uniquely identified immune infiltrates, like NK-like lymphocytes and distinct macrophages, in shaping the cell responses is under consideration. Conclusion: Resistance to BCMA-TCE therapy in the Vk*MYC model of MM arises through multiple mechanisms including genomic antigen loss and transient antigen downregulation. Continuous therapy drives selective pressure leading to target loss via genomic or epigenetic routes, while intermittent dosing preserves antigen but permits resistance to TCE, potentially through immune escape mediated by microenvironmental changes. These insights underscore the translatability of the Vk*MYC model for evaluating rational combination therapies to mitigate these resistance mechanisms. All procedures performed on animals were in accordance with regulations and established guidelines and were reviewed and approved by an IACUC or through an ethical review process.
Preclinical evaluation of SWI/SNF targeting agents in multiple myeloma including t(4;14) subtypes
Yamashita, Yusuke, Patton, Jonathan, Shotts, Yuliza, Du, Megan, Sharik, Meaghen, Pfeffer, Kirsten, Zhu, Yuan, Shi, Chang-Xin, Stein, Caleb, Meermeier, Erin, Chesi, Marta, Xiao, Lanbo, Chinnaiyan, Arul, Barwick, Benjamin, Bergsagel, P. Leif, Yamashita, Yusuke , Yamashita, Yusuke , Yamashita, Yusuke, Patton, Jonathan, Shotts, Yuliza, Du, Megan, Sharik, Meaghen, Pfeffer, Kirsten, Zhu, Yuan, Shi, Chang-Xin, Stein, Caleb, Meermeier, Erin, Chesi, Marta, Xiao, Lanbo, Chinnaiyan, Arul, Barwick, Benjamin, Bergsagel, P. Leif

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 2138-2138

10.1182/blood-2025-2138 Get It

Abstract Introduction: Despite remarkable advances in treatment, patients with multiple myeloma (MM) continue to suffer relapse. Therefore, the development of novel therapeutic strategies is required. The SWI/SNF chromatin remodeling complex, especially its core ATPase subunits SMARCA2/4, is essential for super-enhancer function and MM cell survival. Furthermore, NSD2, which is overexpressed in t(4;14)-positive MM, has been reported to interact with SMARCA2/4, suggesting differential sensitivity to SMARCA2/4 inhibition. While ATPase inhibitors and PROTAC degraders targeting SMARCA2/4 have demonstrated promising preclinical efficacy in MM and other malignancies, their broader therapeutic relevance remains to be clarified. Methods: To support the clinical development of mSWI/SNF antagonists for MM, we first performed PRISM-based profiling of the anti-proliferative effects of both an mSWI/SNF ATPase PROTAC degrader and a catalytic inhibitor across a panel of 888 cancer cell lines from diverse lineages. Lineage enrichment analysis identified plasma cell myeloma as one of the most sensitive malignancies, with the PROTAC degrader demonstrating particularly potent effects. These were followed by in-depth studies in 35 human myeloma cell lines (HMCLs) using FHD-286 (SMARCA2/4 ATPase inhibitor), AU-24118 (CRBN-based degrader), and AU-15330 (VHL-based degrader). Cell viability was assessed after 5-day treatment by flow cytometry with Annexin V and Live/Dead staining. Additional assays were performed in hCRBN-engineered murine plasmacytoma cell lines and Vk*MYChCRBN MM mouse models. Chromatin profiling employed CUT&Tag with SMARCA2/4 and IKZF1/3 antibodies. Results: FHD-286 and AU-24118 showed potent anti-myeloma activity across most cell lines (median IC₅₀: 4.5 nM and 5.9 nM, respectively). HMCLs with t(4;14), as compared to those without, were more sensitive to FHD-286 (p= 0.0064), with a similar trend for AU-24118 (p=0.09). AU-24118 log2 IC₅₀ values correlated with those of FHD-286 (r=0.62, p=0.0002) and with pomalidomide (r=0.61, p=0.0002), suggesting a shared biology. Indeed, CUT&Tag analysis for SMARCA2/4 and the pomalidomide targets IKZF1/3 showed these factors co-localized at most sites throughout the genome in MM.1S cells, including at DUSP22/IRF4, POU2AF1, and IgH super-enhancers. Treatment with AU-15330, depleted SMARCA2/4 off chromatin at >80% of sites within 8 hours (FDR <0.01), and somewhat surprisingly also depleted IKZF1/3 off chromatin at 70% of bound regions, indicating IKZF1/3 function is dependent upon SWI/SNF. Resultantly, combination studies of SWI/SNF targeting agents and pomalidomide showed a lack of synergy and in some cases antagonism, highlighting the importance of careful evaluation when considering combination with pomalidomide. We and others have demonstrated that murine cells are IMiDs resistant due to species-specific differences in CRBN. Using three distinct mouse plasmacytoma cell lines (+/-hCRBN), hCRBN-expressing cells showed a 100-fold greater sensitivity to AU-24118 compared hCRBN- cell lines. In vivo safety testing of AU-24118 using hCRBN transgenic mice exhibited early mortality within 7 days at doses ≥1.875 mpk and within 3 days at doses ≥7.5 mpk, accompanied by rapid body weight loss. In contrast, a preliminary efficacy study using de novo Vk*MYChCRBN mice, AU-24118 administered at 1 mpk three times per week was well tolerated and led to approximately 40% reduction in serum M-protein within 2 weeks (p<0.05), with no notable weight loss, demonstrating a therapeutic window. Conclusions: Broad PRISM profiling confirms lineage-specific vulnerability of MM to SWI/SNF inhibition, with in vitro and in vivo validation supporting selective efficacy in high-risk t(4;14)-positive subtypes. FHD-286, AU-15330, and AU-24118 demonstrated strong in vitro activity, particularly in t(4;14)-positive HMCLs. This activity was due, in part, to chromatin compaction and decommissioning of lineage and oncogenic enhancers as well as eviction of IKZF1/3 off chromatin. AU-24118 showed high selectivity, with picomolar range IC₅₀ in sensitive HMCLs. Due to species-specific CRBN differences, accurate toxicity evaluation of AU-24118 requires hCRBN-expressing models, and preliminary data indicate in vivo efficacy in the highly predictive Vk*MYChCRBN model. These findings support the potential of SMARCA2/4 targeting agents, especially AU-24118, as promising therapies for MM, particularly in high-risk t(4;14)-positive cases.
Clinics and clicks: Understanding hematology healthcare delivery utilization and preferences in the digital era
Marar, Rosalyn, Toumeh, Nadia , Liddell, S. , Bentz, Caleb C., Paulson, Damian, Stegemann, Hollie, Paulson, Damian, Paludo, Jonas , Go, Ronald S. , Godby, Richard

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 2864-2864

10.1182/blood-2025-2864 Get It

Abstract Background: The landscape of healthcare delivery in hematology has undergone significant transformations with the increasing adoption of telehealth services for appointments and communications in conjunction with the 2016 21st Century Cures Act providing patients complete access to their health information. Digital healthcare services in hematology offer benefits, including convenience and equitable access to those limited by travel or financial burdens. However, they also have inherent risks, including loss of in-person communication, disparities in access to technology, differences in digital literacy, and increased provider workload and burnout. Thus, we analyzed contemporary utilization patterns of hematology healthcare and provider preferences to optimize implementation of evolving hybrid care models. Methods: We analyzed data from the Mayo Clinic (Rochester, MN) Hematology Appointments Office and the Hematology Call Center as well as digital messaging practices using Epic's SlicerDicer tool. Data was collected between January 2023 and January 2025, during which patients had access to the electronic health record (EHR) and direct messaging capabilities. An optional survey was distributed to Hematology providers including physician consultants, fellows, and advanced practice providers (APP) to assess practice preferences. Results: During the analyzed period, a total of 85,899 hematology appointments were completed and captured all adult ages, including 18-34 (4.6%), 35-49 (9.2%), 50-64 (25.3%), 65-79 (48.3%), and 80+ (12.6%). Although in-person, video, and telephone visit options were available, in-person visits predominated across all age groups, with 80.6% of all completed appointments occurring in-person, 12.9% via video, and 6.5% via telephone. Notably, patients aged 80+ had the second highest combined use of video and telephone visits, with over 20% of their appointments conducted virtually. There was a total of 6,893 no-show and cancelled appointments, with 79.9% of these scheduled in-person, 14.8% via video, and 5.3% via telephone. There were over 4,000,000 portal messages in the hematology division with over 1,000,000 sent directly to hematology providers. Patients sent 105,284 new messages, of which 47.2% were new patient advice requests to providers which cascaded to 343,103 additional messages. Patients made 155,036 telephone calls, which cascaded to 407,578 messages over the portal, 78.5% of which were sent directly to providers. Notably, utilization of both portal messaging and telephone calls was similar across all age cohorts, including those 80+ years. Providers only initiated 14,159 new messages to patients yet sent a total of 354,172 messages. The hematology provider survey had a response rate of 42% (53 of 129). Respondents included 45.3% consultants, 45.3% fellows, and 9.4% APPs. 92.5% and 90.6% of providers preferred in-person appointments for new visits and established visits on therapy, respectively. In contrast, 52.8% preferred virtual appointments for established patients not currently receiving therapy. 73.6% and 52.8% of survey respondents either strongly agreed or agreed that virtual appointments are advantageous for patients and providers, respectively. Additionally, only 49.1% felt portal messages were necessary to provide high quality care and 64.2% preferred appointments over communicating through messages. 86.8% of providers reported spending more than 30 minutes daily responding to in-basket messages, however, 94.3% reported not routinely billing for their time. Conclusions: In the digital era, hematology healthcare delivery is multifaceted and increasingly demanding with high rates of patient engagement in their care via various mediums. To our knowledge, this is the largest analysis combining EHR utilization and appointment data with provider preferences to better understand digital hematology care. Digital appointments and communications were common amongst all age groups, including older patients, and had relatively low cancellations rates. Promotion of virtual visits to facilitate patient-provider conversations in addition to standardization of digital communication workflows are low-risk, high-yield interventions to mitigate the cascading of EHR-based communications, especially for those not actively receiving therapy. Together, these could decrease provider burnout while increasing healthcare system operational capacities to provide optimal patient care and satisfaction.
Retention of immunosuppressive C1Q macrophages following therapeutic interventions imparts negative outcomes across human multiple myeloma studies
Stein, Caleb, Kourelis, Taxiarchis , Shotts, Yuliza, Zhu, Yuan Xiao , Pfeffer, Kirsten , Chesi, Marta, Stein, Caleb, Meermeier, Erin W. , Cook, Joselle , Shi, Chang-Xin , Sharik, Meaghen E. , Bergsagel, P. Leif , Chesi, Marta

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 7481-7481

10.1182/blood-2025-7481 Get It

Abstract Overview: The emergence of effective immune therapies for multiple myeloma has highlighted the importance of understanding the roles of less abundant components within the tumor microenvironment. Single-cell analyses provide snapshots of the functional relationships of individual cells at precise moments in time, as well as insight into the overall cellular composition. By integrating single-cell datasets from multiple studies, we improve our ability to identify trends within rare cell populations, such as macrophages, and explore their clinical implications. We investigate human data here because our prior research of murine models indicated that macrophages expressing C1q, particularly those co-expressing Fcgr4, tend to correlate positively with increased tumor burden. Methods: We combined 56 human bone marrow samples – primarily collected at baseline, post-induction, or post-ASCT – with three publicly available data sets: GSE210079 (post CAR-T bone marrow microenvironment); GSE223060 (single-cell analysis of the MMRF cohort); and GSE271107 (disease progression from healthy donors and MGUS to SMM and NDMM). These data sets were integrated using Seurat to generate robust cellular clusters from over 300,000 cells across 117 samples. We validated our single-cell findings with bulk Affymetrix, whole bone marrow gene expression data (collected at baseline and post-baseline) from the Total Therapy clinical trials (GSE136324). Results: A distinct cluster of C1QA/B/C-expressing macrophages was consistently identified in all single-cell cohorts. These cells co-express FCER1G, CSF1R, and CD68 (markers also expressed in murine C1Q macrophages) and typically cluster adjacent to FCGR3A-expressing monocytes. Within the disease progression cohort, C1Q macrophages were found in all phases of progression: healthy donors, MGUS, SMM, and NDMM. However, C1Q macrophages in progressive disease (SMM and NDMM) have distinct expression features including lower levels of MRC1 and higher levels of APOBEC3A and ISG15 – genes linked to inflammatory responses. Among 11 post-induction samples submitted to lenalidomide maintenance, five with shorter responses displayed elevated expression of APOBEC3A and ISG15 in C1Q-expressing macrophages compared to six samples with longer responses. In a cohort of 22 samples 100 days post-ASCT, seven poor responders showed both an increased frequency of C1Q macrophages and elevated APOBEC3A expression compared to good responders. The MMRF cohort indicated that higher baseline frequencies of C1Q macrophages often preceded rapid disease progression (e.g. MMRF_1720, MMRF_1641). Anecdotal evidence from the CAR-T therapy cohort suggests that expansion of C1Q macrophages could serve as an early warning for tumor recurrence; sample 16 showed retention and expansion of C1Q macrophages 28 days post-CAR-T, that was subsequently followed by increased tumor cell counts at 3 months post-therapy. Analysis of bulk, whole bone marrow gene expression revealed that elevated levels of C1Q genes correlated with poorer outcomes, particularly in post-baseline samples. Multivariate Cox survival analysis revealed that high C1Q expression independently predicted inferior overall survival in post-baseline samples after adjusting for age, ISS stage, high levels of tumor-associated markers (SDC1, JCHAIN, DERL3), and high-risk UAMS7 subtypes (MF, MS, PR). Moreover, post-baseline GEP70 risk scores (from matched bone marrow aspirates) positively correlated with elevated C1Q expression in whole bone marrow samples. Conclusion: Both single-cell and bulk analyses indicate that the persistence of immunosuppressive C1Q macrophages following therapy is associated with inferior clinical outcomes. Although the precise mechanisms are yet to be fully understood, the close proximity of similar macrophages to tumor cells–as observed in other cancers–likely also occurs in myeloma and reflects the crucial relationship between tumor cells and macrophages within the bone marrow. While C1Q macrophages are typically rare in individual samples, analysis of combined cohorts is building evidence of their crucial role in immune cross-talk and therapeutic resistance mechanisms.
Blood board: A virtual forum for classical hematology education and care improvement
Andrade-Gonzalez, Xavier , Martin, Emma C. St. , Nwachukwu, Nneka , Pritzl, Stephanie , Ruan, Gordon , Shah, Deep , Smith, Caleb , Vijayvargiya, Pooja , Godby, Richard , Story, Charlotte McIlwaine , Marshall, Ariela L. , May, Jori E.

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 6420-6420

10.1182/blood-2025-6420 Get It

Abstract Introduction: The landscape of classical hematology has undergone substantial evolution over the last decade, marked by new diagnostic tools, nuanced therapeutic strategies, and an expanding understanding of underlying pathophysiology. This increasing complexity often presents unique diagnostic and therapeutic challenges. These challenges are further compounded by workforce shortages in classical hematology marked by educational gaps, geographic limitations, and difficulty accessing prompt specialty care. Unlike the well-established “Tumor Boards” in oncology, a comparable dedicated, widely accessible forum for classical hematology has largely been absent. This gap contributes to potential practice heterogeneity and isolation, especially across dissimilar care settings and geographic regions, impacting the consistent application of evidence-based practices and access to specialized expertise. To address this critical need, the “Blood Board” initiative was created to serve as an informal, virtual resource for discussing classical hematology topics and cases, fostering diverse perspectives, and collaborative problem-solving. Methods: The Blood Board was formally launched in April 2025, operating as a bi-monthly, hour-long virtual meeting conducted via non-recorded videoconferencing. The forum was designed with broad inclusivity in mind, welcoming all healthcare professionals involved in the care of adult patients with classical hematologic disorders, including trainees such as hematology/oncology fellows, academic and community-based hematologists, and any other interested providers. To date, dissemination of this initiative has been by word of mouth and e-mails containing a calendar invitation have been sent to anyone interested in participating (https://forms.gle/doyHNSx1SVFBJZmy8). To facilitate participation from various practice models and geographical locations, the virtual format was prioritized, eliminating barriers of travel and time commitment often associated with traditional in-person conferences. Participation is voluntary, encouraging an open and informal environment for de-identified case presentations, didactic discussions, and expert opinion sharing. Self-reported data on participant demographics (e.g., role, practice setting) and geographical representation have been collected to assess the initiative's reach and impact. Results: To date, sessions have consistently garnered engagement with a median of five participants in attendance at each session. There have been over 20 unique participants representing a broad spectrum of roles including both trainees and practicing hematologists/hematologist-oncologists and drawing from private practice, community-based hospitals, and academic medical centers. Over half of all participants were either in fellowship or within five years of completion of training. The virtual format has successfully overcome geographical limitations, attracting attendees from numerous states including Alabama, Florida, Georgia, Maryland, Minnesota, Missouri, Pennsylvania, South Dakota, and Wisconsin highlighting its broad appeal and potential for knowledge dissemination across a wide professional network. Conclusions: The Blood Board has demonstrated utility and met a previously unaddressed need. Sustained intellectual interest in Blood Board, coupled with a wide geographical and professional reach underscores a critical role for accessible, free, and multidisciplinary collaborative platforms in the evolving field of classical hematology. Similar to Tumor Boards, Blood Board promotes knowledge exchange and evidence-based care, garners expert support for challenging cases, and harmonizes clinical approaches, which we hope may ultimately improve patient care outcomes across diverse settings. Furthermore, this platform facilitates a national classical hematology community to support workforce development. Future goals include expanding dissemination efforts, measuring specific educational benefits, analyzing impacts on patient care, and increasing participant diversity, including recruitment of advanced practice providers and pharmacists.
Impaired vaccine-elicited humoral protection in sepsis surviving hosts 3760
Kozurek, Emma , Kucaba, Tamara A., Kim, Caleb Y. , Skon-Hegg, Cara , Knoop, Kathryn A. , Badovinac, Vladimir P , Griffith, Thomas S.

The Journal of Immunology | November 21, 2025 | Volume: 214 | Issue: Supplement_1 | Pages: No page available

10.1093/jimmun/vkaf283.1525 Get It

Abstract Description Sepsis, the life-threatening organ dysfunction stemming from the severe inflammatory response to systemic microbial infection, can affect humans of any age. One consequence of sepsis is the development of prolonged immunoparalysis that contributes to increased susceptibility to infection. With vaccination being an important means for protecting humans from infection throughout their lifetime, it is surprising that there has been no study performed to date assessing vaccine efficacy in sepsis survivors. We found neonatal and adult mice given an intramuscularly delivered inactivated multivalent influenza vaccine 30 days after sepsis induction had reduced total and class switched Ab titers, compared to non-septic controls. The reduced humoral response was due, in part, to impaired CD4 T cell and B cell responses to the vaccine. Reduced Ab titers were similarly seen in post-septic mice given an intranasal live-attenuated influenza vaccine. ELISpot data demonstrating reduced numbers of antibody secreting cells in the spleens of vaccinated septic mice further support the ELISA results. Moreover, mice vaccinated prior to sepsis induction also showed reduced antibody titers. Importantly, vaccinated septic mice had reduced protection to a lethal influenza challenge, demonstrated by increased mortality and viral burden in the lungs. These data collectively show how sepsis can lead to increased susceptibility to pathogens normally neutralized by vaccine-induced immunity. Funding Sources Supported by NIH/NIAID R35 GM140881; 5R01 GM139046; 1T32TR004385 Topic Categories Translational and Interventional Immunology (TI)
Evaluation of Interventions for Cognitive Symptoms in Long COVID
Koltai, Deborah, Laskowitz, Daniel T. , Wisnivesky, Juan P., Federman, Alex D. , Silverstein, Adam M. , Lokhnygina, Yuliya, Haddad, Michelle M., Mahncke, Henry W. , Vleet, Tom Van, Huang, Rong , Cox, Wendy C., Terry, Diana, Karwowski, Jeannie, McCray, Netia, Lin, Jenny , Singh, Upinder , Geng, Linda N. , Reece, Rebecca , Moy, James N., Arvanitakis, Zoe , Parthasarathy, Sairam , Patterson, Thomas F., Gupta, Aditi , Parsonnet, Jeffrey, Kiriakopoulos, Elaine T. , Mullington, Janet , Jolley, Sarah E. , Shah, Nirav S. , Morimoto, Sarah Shizuko , Lee‐Iannotti, Joyce , Isache, Carmen, Frontera, Jennifer , O’Steen, Ashley, James, Melissa, Harper, Barrie, Zimmerman, Kanecia O. , Lawler, Andrew , Johnson, Brandon M. , Pitsch, Chloe E. , Feuerriegel, Elen , McKeehan, Jeffrey, Molden, Joie, Reid, Kayleigh M., Dowling, Sarah , Wodushek, Thomas, Canton, Diara, Turut, Dilara, Sheppard, Ethan , Scott‐Sutherland, Jennifer, Shaughnessy, Lynn, Beck, Michelle L. , Heisey, Sabrina, Katragadda, Vaishanvi, Yusuff, Amidat, Perlack, Amy, Merisme, Christie, Krause, David, Schulte, Duncan, Dupre, Fabiola, Sanchez, Gina A. Montealegre , Asupoto, Olanike, Simmons, Quinneil, Schroeder, Ryan W. , Timlin, Shannon, Devis, Ycar, Carter, Della, Caceres, Leomaris Caba, Rodríguez, Miguel Grande, Alvarez, Zariya , Yakubov, Amin , Engelson, Celia, Reyes, Michael, Youkhana, Alvin, Jennings, Cheryl , Naquiallah, Dina, Behun, Dylan , Stephen, Ellen, Timm, Emily , Bilimoria, Farrah, Li, Grace , Stricker, Thomas, Michelle, Kang, Minnie, Suarez, Rebeca Tojo, Carmona, Tania, Ramírez, Ana, Kadubek, Grace, Baker, Aileen, Romo-Serna, Andrea, Predki, Barbara, Leman, Cindy, Panhans, Cristina, Roth, Genevieve E., Rudraraju, Gowrisree , Miller, Hannah , DeLisa, Julie A., Williams, Kat, Woodson, Kimberly S., Jennette, Kyle J. , Villanueva, Laura, Norwick, Maria, Martínez, M. T., Rowley, Matt, Carrithers, Michael D. , Pliskin, Neil H. , Pérez, Nicolás , Durkin, Nicole M., Maniar, Nikita, Beety, Rachel, Daspgupta, Raktima, Ramchandran, Ramaswamy, Jaramillo, R., Hasek, Sharon, Macías, S Aguirre, Schuh, Tina , Ialacci, Sarah, Bailey, Christopher , Labbato, Danielle, Hautmann, Amanda , Smith, Beth, Nath, Dia, Meyer, Jessica , DiFrancesco, Kathryn, Pettinato, Kimberly, Curtis, Lynette, Daher, Joviane , Koberssy, Ziad , Mavar, Caleb, Andrefsky, John, Merheb, Alexander, Hernandez, Carla, Baissary, Jhony , Atieh, Ornina , Pereira, Carol, Carpenter, Deborah, Raynor, Jennifer , Brunton, Kristine, Podgoreanu, Andreea, Bunch, P. C., O’Brien, Sean M. , Dickey, Sheila, McNulty, Steven E., Gajjar, Varsha, Neale, Alec C. , Cohen, Cari, Geary, Elizabeth, Campanella, Franco, Anderson, Kirsten, Prestige, Laura, Guidotti-Breting, Leslie, Biewer, Megan, Morton, Melissa , Mathenia, Nicholas, Adeyemi, Oluwadamilola A. , Hengst, Samanike, Ning, Wei , Vanderloo, Adam, Caplan, Amanda, Chen, July, Acree, Mary Ellen , Nakhate, Mukund, Dan, Zaw Nu, Pk, Switzer, Aryal, Shambhu , Sanchez, Jessica, Sims, Luke, Ferdinand, Rebecca , Mammadova, Mehriban, Grimes, Carolyn Z. , Vidales, Elizabeth, Pham, Hau , Nielsen, Laura, Keller, Maryjane, Uruba, Syeda, Hernandez, Maria, Patel, Bela , Umana-Sanchez, Virginia, Pak, Chong, Gainer, Jeffery, BURR, R, Trapuzzano, Ashleigh, Celso, Brian G. , Bienkowski, Grace, Bowman, Jennifer, Verdecia, Jorge , Zerwekh, Kathryn, Serrano, Liliana , Marotz, Meghan, Propp, Piper, Sarig, Yonatan , Murphy, Annie, Comfort, Brandon, Torres, Iri, Klein, Jeffrey A. , Walker, John, Moore, John J., Tempest-Browning, Lisa, Arain, Mudassar, Kemp, Pamela, Sullivan, Samantha, Way, Sonja, Chevalier, Jessica, Sykes, Carly, Kruck, Carrie L., Sackett, L. W., Bang, Claire, Hynes, Mary, Gallagher, Torrey L., Childers-Kakos, Margaret, Zia, Ahmad, South, AP, Oravets, Anne, Ferreyra, Carolyn, Glaze, Chad, Villanueva, Daphne-Dominique , Blystone, Erica, Pritchard, Jane, Alyward, Laura, Cooper, Melissa, Chidester, Michelle, Alderson, R. Matt , Clark, Renee D., Hodder, Sally , Sarwari, Arif R, Juskowich, Joy, Welch, Shelly, Civil, Alyssa, Bendl, Ashley, Dicker, Elisa, Hanson, Hannah, Viola, Heather, Morinigo, Janice, Pantaleon, Karisma, Marcon, Kathryn, Stone, Kimberly, Stewart, Kiwan, Evo-Ortega, Lorraine, McVeety, Megan, Guliyeva, Sabina , Watson, Eric , Pehel, Shayna, Ko, Tim, Caropolo, Leah, Kocas, H. Deniz , O’Donnell, Andrew, Saperia, Corey , Thai, Daniel, Pathak, Divya , Keller, Jennifer M. , Olszewski, Kelly, Clinton, Kimberly, Cherian, Kirsten , Dutton, L M, Elepano, Ma, Mohapatra, Sukanya , Chen, Ting , Wroolie, Tonita, Leang, Zenita, Shashidhar, Sumana, Nguyen, T L, Ravisankar, Ashwath, Weiden, Brycie, Bolliger, Dawn, Glesne, Heather, Dixon, Jennifer , Chebrolu, Praneeth, Gazali, Zarine, Hurst, Whitney, Fry, Avery, Murthy, Ganesh, Grischo, Garrett, Erickson, Heidi L. , Gomez, Isaias, Copeland, Jacquelynn, Galaz, Judy, Autry, Lynn, DiLise-Russo, Marjorie, Marshell, Nikki, Borwege, Sabine, Vadovicky, Sheila, Marsh, Stephanie, Hartley, William, Murtagh, Linda, Kennedy, Anna, Meltzer-Christensen, Annie, Stringham, Caitlyn, Gaskin, Ella, Judd, Melissa, Côté, Sarah , Mahasenan, Shreya, Bjorklund, Todd, Farner, Cheryl E., Taylor, Barbara S. , Soileau, Bridgette, Cote, Cyrena , Hromas, Gabrielle A., Scholler, Irma, Longoria, Lisa, Heard, Patricia, Jones, Johnnie, Tragus, Robin , Harris, Maya, Pinones, Alexis, Anderson, Alyssa , Hastings, Gabrielyd, Courtright, jessica, Jayakumar, Madhumita, Fischer, M, Solis, Pamela, Harteloo, Alex, Elias-Warren, Anna, Nguyen, Daniel , McDonald, Dylan , Rau, Holly , Mernaugh, Jean, Pagulayan, Kathleen F. , Watanabe, Kino, Huden, Kristen, Peabody, Laurel, Mei, Tiffany, Ogunwuyi, Catherine, Cobbina, Esther, Sankar, Ian, Nguyen, Lisa , Fromm, N., Arnold, R. Douglas, Ogu, Stephanie, Yuan, Ying , Ibrahim, Homam , Szum, Izabella, Patel, Jignesh, Sultan, Sonia, Jazayeri, Yasmin, Anderson, Betty Lise, Muñoz, Isabel , Rhys, Logan, Vane, Ryan, Kim, Jessica , Diaz, Leticia M., Yee, Nathan, Gruhn, Robert, Browngoetz, Sarah, Johnson, Elisha, Chand, Arista , Bottrill, Kenneth , Henderson, Kymberly, Johnson, DeArmond, Richard C., Hughes, Trina, Silverstein, A , Silverstein, Adam P , Frontera, Jennifer , Geng, Linda N. , Knopman, David S. , Becker, Jacqueline , Charvet, Leigh , Pilloni, Giuseppina , Huang, Rong, Cox, Wendy, Karwowski, Jeannie, McComsey, Grace A. , Chu, Helen Y. , Ostrosky‐Zeichner, Luis , Fong, Tamara G. , Killgore, William D. S. , Dwyer, Brigid C. , Stringer, William W. , Krishnan, Jerry A , James, Melissa, Johnson, Brandon, Erlandson, Kristine M. , Dowling, Sarah, Hauser, Kristine , Doyle, Michael, Beck, Michelle, Tran, Anh, Altaras, Caroline , Sanchez, Gina, Krengel, Maxine , Ly, Monica T. , Asupoto, Olanike, Schroeder, Ryan, Rodriguez, Miguel, González, David Andrés , Torres, Jimena, García, Maria Luisa , Carrera, Laura, Rutherford, Melissa, Perez, Nicolas, Jaramillo, Ruthie, Smith, Beth, Walkup, Kevin, Scott, Sarah , Mavar, Caleb B., Carpenter, Deborah, Bunch, Pyper, Brown, Richard, Escobar, Carolina, Campanella, Franco, Mathenia, Nicholas, Glickman, Michael S. , Sims, Luke A., Pham, Hoai Phuang, Lopez, John, Hernandez, Maria, Lin, Matthew Junda , Gainer, Jeffery, Brown, Gina , Klein, Jeffrey, Reed, Jessica, Walker, John, Sackett, Lisa, Kaden, Sarah J. , Childers-Kakos, Margaret G, South, Amy, Blystone, Erica, Cooper, Melissa, Alderson, Rachael, Clark, Renee, Bardes, James M. , Hanson, Hannah, Loizos, Maria , Caropolo, Leah J., Fernandez, Luis, Keller, Jennifer, Lin, Rebecca, Brown, Daniel, Dixon, Jennifer, James, Michelle, Kala, Mrinalini , Smith, Ryan S. , Mahasenan, Shreya, Johnson, Hillary, Anderson, Alyssa, Hernandez, Jessica, Sullivan, Michael, Nguyen, Helen , Logue, Jennifer, Mei, Tiffany, Arnold, Rowan, Szum, Izabella , Hatlen, Timothy J. , Anderson, Betty, Munoz, Isabel, Wright, Matthew, Diaz, Leticia, DeCato, Thomas W. , Ortiz, Ernesto, Hildebrand, Lindsey L. , DeArmond, Richard

JAMA Neurology | November 10, 2025 | Volume: 83 | Issue: 1 | Pages: 49

10.1001/jamaneurol.2025.4415 | PMID 41212544 Get It

Importance Treatment for cognitive dysfunction due to postacute sequelae of long COVID (ie, symptoms of fatigue, malaise, weakness, confusion that persist beyond 12 weeks after an initial COVID infection) remains a significant unmet need. Objective To test evidence-based rehabilitation strategies for improving cognitive symptoms in persons with long COVID. Design, Setting, and Participants This was a 5-arm, multicenter, randomized clinical trial of 3 remotely delivered interventions conducted between August 17, 2023, and June 10, 2024. The study took place at 22 trial sites and included the screening of individuals with cognitive long COVID. Interventions Participants were randomized to 1 of 5 arms: adaptive computerized cognitive training (BrainHQ [Posit Science]), cognitive-behavioral rehabilitation involving both group and individual counseling sessions (PASC-Cognitive Recovery [PASC-CoRE]) paired with BrainHQ, and transcranial direct current stimulation (tDCS) paired with BrainHQ. Two comparator arms were included as follows: unstructured computer puzzles and games (active comparator) and sham tDCS paired with BrainHQ. The interventions occurred 5 times per week over 10 weeks. Main Outcomes and Measures Cognitive and behavioral in-person assessments were performed at baseline, midintervention, at the end of intervention, and 3 months after the end of the intervention. The primary outcome measure was the modified Everyday Cognition Scale 2 (ECog2) completed at the end of the intervention compared to the baseline visit based on participant self-report looking back over the prior 7 days. Results A total of 378 individuals were screened, from which there were 328 participants (median [IQR] age, 48.0 [37.0-58.0] years; 241 female [73.5%]; race: 15 Asian [4.6%], 47 Black [14.3%], and 235 White [71.6%]; ethnicity: 52 Hispanic [15.9%]). None of the 3 active interventions demonstrated benefits on the modified ECog2 in the intention-to-treat population by the end of the intervention period. The adjusted differences in mean change were 0.0 (95% CI, −0.2 to 0.2) for BrainHQ vs active comparator, 0.1 (95% CI, −0.1 to 0.3) for PASC-CoRE + BrainHQ vs active comparator, 0.0 (95% CI, −0.2 to 0.2) for tDCS-active + BrainHQ vs tDCS-sham + BrainHQ, and 0.1 (95% CI, −0.1 to 0.3) for PASC-CoRE + BrainHQ vs BrainHQ alone. Secondary participant-reported outcomes and neuropsychological tests showed no differential benefits for any treatment arm. All 5 arms demonstrated some improvements over time on the modified ECog2 and on secondary outcomes. There were no serious adverse events attributable to the interventions. Conclusions and Relevance This phase 2 randomized clinical trial failed to demonstrate differential benefits for online cognitive training, a structured cognitive rehabilitation program, and tDCS for cognitive long COVID. Trial Registration ClinicalTrials.gov Identifier: NCT05965739 .
A Prognostic Signature for Lung Adenocarcinoma in Patients Who Have Never Smoked
Wei, Zhao , Zhang, Tongwu , Hua, Xing , Hoang, Phuc H. , Miraftab, Mona , Saha, Monjoy , McElderry, John, Sang, Jian , Lee, Olivia W. , Hartman, Caleb , Sharma, Sunandini , Colón-Matos, Frank J. , Anyaso‐Samuel, Samuel , Hutchinson, Amy , Hicks, Belynda , Rosenbaum, Jennifer, Zhong, Xiaoming , Yang, Yang , Leung, Kin Chung, Wong, Maria Pik , Mańczuk, Marta , Shangina, Oxana , Заридзе, Давид , Milosavljević, Saša , Ognjanovic, Simona , Savić, Milan , Gaborieau, Valérie , Brennan, Paul , Edell, Eric S. , Más, Luís , Chen, Chih‐Yi , Chang, I‐Shou , Hsiung, Chao A. , Liu, Geoffrey , Santamaría, Juan Miguel , Mutreja, Karun , Rothman, Nathaniel , Leduc, Charles , Sholl, Lynette M. , Lan, Qing , Yang, Lixing , Shi, Jianxin , Landi, Maria Teresa , Zhao, Wei , McElderry, John P , Khandekar, Azhar , Sharma, Sunandini , Colón-Matos, Frank J , Anyaso-Samuel, Samuel , Wang, Difei , Jones, Kristine , Hutchinson, Amy , Hicks, Belynda , Rosenbaum, Jennifer , Zhong, Xiaoming , Yang, Yang , Pesatori, Angela C , Consonni, Dario , Christiani, David C. , Leung, Kin Chung , Wong, Maria Pik , Manczuk, Marta , Lissowska, Jolanta , Świątkowska, Beata , Mukeria, Anush , Shangina, Oxana , Zaridze, David , Holcatova, Ivana , Mates, Dana , Milosavljevic, Sasa , Ognjanovic, Simona , Savic, Milan , Kontic, Milica , Gaborieau, Valerie , Brennan, Paul , Arrieta, Oscar , Bossé, Yohan , Schabath, Matthew B , Hofman, Paul , Mas, Luis , Yendamuri, Sai S , Chen, Chih-Yi , Chang, I-Shou , Hsiung, Chao Agnes , Liu, Geoffrey , Martinez Santamaría, Jacobo , Gould Rothberg, Bonnie E , Mutreja, Karun , Lawrence, Scott M. , Rothman, Nathaniel , Alexandrov, Ludmil B , Leduc, Charles , Baine, Marina K , Joubert, Philippe , Sholl, Lynette , Travis, William D , Homer, Robert , Lan, Qing , Chanock, Stephen Jacob , Yang, Lixing , Yang, Soo-Ryum , Shi, Jianxin , Landi, Maria T , Lissowska, Jolanta , Świątkowska, Beata , Holcátová, Ivana , Mateș, Dana , Arrieta, Óscar , Bossé, Yohan , Schabath, Matthew B. , Alexandrov, Ludmil B. , Travis, William D. , Homer, Robert

Cancer Discovery | October 30, 2025 | Volume: 16 | Issue: 3 | Pages: 460-477

10.1158/2159-8290.cd-25-0581 | PMID 41165571 Get It

Abstract Understanding tumor cell dynamics can improve prognosis and treatment but remains limited for lung adenocarcinoma in people who have never smoked (NS-LUAD). With RNA sequencing data from 684 NS-LUAD cases and validation in an independent dataset, we identified three subtypes with distinct phenotypic traits and cell compositions. Additional genomic and histologic data further characterized the subtypes. “Steady,” marked by low proliferation, high alveolar cell fraction, moderate-to-well differentiation, and fewer driver gene alterations, is linked to prolonged survival and low immune evasion. “Proliferative” shows high proliferation markers, TP53 mutations, and gene fusions. “Chaotic,” with high epithelial-to-mesenchymal transition markers, has the worst prognosis, even within stage I tumors. Lacking known molecular or histologic characteristics, this aggressive subtype is solely identified by transcriptomic data. A 60-gene signature recapitulates the classification and predicts survival even within subgroups based on tumor stage or known genomic features, emphasizing its potential for improving early-stage NS-LUAD prognostication in clinical settings. Significance: The transcriptome of 684 NS-LUAD identifies three subtypes with different cellular dynamics and genomic and morphologic features. A 60-gene signature accurately stratifies subjects for mortality risk, even in stage I, offering a potential clinically applicable tool for treatment decision-making in patients with NS-LUAD. See related commentary by Azizi et al., p. 423